The demand for deploying machine learning models, especially state-of-the-art deep neural networks on edge devices is rapidly growing. Edge AI allows to run inference locally, without the need for a connection to the cloud, which makes the technologies more portable and self-sufficient. Without the need for sending the data to the cloud, edge AI solutions are also much safer in terms of data privacy.| antmicro.com
Development of Machine Learning algorithms which enable new and exciting applications is progressing at a breakneck pace, and - given the long turnaround time of hardware development - the designers of dedicated hardware accelerators are struggling to keep up. FPGAs offer an interesting alternative to ASICs, enabling a much faster and more flexible environment for such HW-SW co-development - and with projects such as the FPGA interchange format, Antmicro has been turning the FPGA ecosystem to...| antmicro.com